Triple
T19221055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Peru |
E480612
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Tarapoto |
E295056
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tarapoto | Statement: [Eastern Peru, containsCity, Tarapoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarapoto Context triple: [Eastern Peru, containsCity, Tarapoto]
-
A.
Tarapoto
chosen
Tarapoto is a city in northern Peru known as a gateway to the Amazon rainforest and a regional hub for tourism and commerce.
-
B.
Tucupita
Tucupita is a small Venezuelan city that serves as the capital of Delta Amacuro state and the main urban center near the Orinoco Delta.
-
C.
Guanare
Guanare is a city in western Venezuela that serves as the administrative and economic center of Portuguesa State.
-
D.
Arauquita
Arauquita is a Colombian municipality in the eastern plains region, known for its agricultural activities and proximity to the Venezuelan border.
-
E.
Puerto Maldonado
Puerto Maldonado is a frontier city in the Peruvian Amazon known as a gateway to the Madre de Dios rainforest and nearby biodiversity-rich reserves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3fa9348190920f9d41b8beb900 |
completed | April 20, 2026, 10:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e633ed48190a83ce5c4b418d1c7 |
completed | May 15, 2026, 12:15 p.m. |
Created at: April 10, 2026, 1:24 p.m.